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Dr. Joy Buolamwini, founder of the Algorithmic Justice League, discusses how algorithmic bias in AI systems poses a risk to marginalized people. She challenges tech leaders on bias, highlights biases in facial recognition, and emphasizes the need for responsible AI tools. The podcast also explores the meeting with President Biden on facial recognition bias and addresses immediate harms and hypothetical risks of AI.
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Quick takeaways
- AI bias poses an existential risk to marginalized people and must be addressed collectively
- Bias in AI systems stems from skewed and limited data sets, emphasizing the need for inclusive data collection
Deep dives
The Spectrum of Concerns Surrounding AI
There is a spectrum of concerns when it comes to AI, ranging from immediate harms to emerging and longer-term risks. Rather than a divide, these concerns should be addressed collectively to mitigate the future dangers by attending to the immediate ones.
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Listen to the best highlights from the podcasts you love and dive into the full episode